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Exploring Occupation Differences in Reactions to COVID-19 Pandemic on Twitter
Yi Zhao1, Haixu Xi1, Chengzhi Zhang1
1Department of Information Management, School of Economics and Management, Nanjing University of Science and Technology, Nanjing, China.
Data and Information Management
|April 6, 2022
Summary
Social media analysis reveals distinct COVID-19 topic preferences across occupations. However, sentiment differences related to occupation and income were not significantly demonstrated in this study.
Area of Science:
- Social Sciences
- Computational Social Science
- Public Health
Background:
- The COVID-19 pandemic generated vast amounts of information on social media platforms.
- Understanding the social implications of this information requires analysis from diverse perspectives, including occupation.
- Social media data offers insights into public discourse and societal responses during crises.
Purpose of the Study:
- To analyze COVID-19-related social media content from an occupational viewpoint.
- To investigate topic preferences and sentiment expression among Twitter users based on their occupations and income levels.
- To understand the social implications of the COVID-19 pandemic through occupational social media analysis.
Main Methods:
- Utilized a COVID-19-related dataset sourced from Twitter IDs.
- Applied Latent Dirichlet Allocation (LDA) topic modeling to identify prevalent themes.
- Employed the Valence Aware Dictionary and sEntiment Reasoning (VADER) model for sentiment analysis.
Main Results:
- Significant differences in topic preferences were observed among Twitter users with different occupations.
- Occupation-linked affective differences (sentiment) related to COVID-19 information were only partially demonstrated.
- No significant correlation was found between income levels and sentiment expression on COVID-19 topics.
Conclusions:
- Occupation plays a role in shaping how individuals engage with and discuss COVID-19 information on social media.
- Sentiment analysis indicates a complex relationship between occupation, income, and emotional responses to pandemic-related content.
- Further research is needed to fully elucidate the nuanced interplay between socio-economic factors and online discourse during public health crises.
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